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Cloud cover percentage [0, 100] from:

Cloud cover percentage [0, 100] to (exclusive):

Landsat collection category, such as T1 or T2:

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

Coordinate reference system field:

How much data is in the scene from:

How much data is in the scene to (exclusive):

ID of a dataset type:

Derived product version number:

The ground sample distance from:

The ground sample distance to (exclusive):

Sun azimuth from:

Sun azimuth to (exclusive):

Sun elevation from:

Sun elevation to (exclusive):

File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Platform code:

Product family code:

African regional area:

Spatial reference code from the provider. For Landsat region_code is a scene path row '{:03d}{:03d}.format(path,row)'. For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Landsat root mean square error from:

Landsat root mean square error to (exclusive):

Landsat root mean square error in X from:

Landsat root mean square error in X to (exclusive):

Landsat root mean square error in Y from:

Landsat root mean square error in Y to (exclusive):

The satellite orbit state, either ascending or descending:

The satellite relative orbit from:

The satellite relative orbit to (exclusive):

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

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26 results

Time (local)	Label
2013-07-09 18:10:00	wofs_ls_177059_2013-07-09.stac-item
2014-05-14 16:51:12	wofs_ls_164069_2014-05-14.stac-item
2014-05-20 17:48:34	wofs_ls_174058_2014-05-20.stac-item
2015-08-10 18:41:57	wofs_ls_183052_2015-08-10.stac-item
2016-03-20 18:04:00	wofs_ls_176065_2016-03-20.stac-item
2017-08-17 20:06:53	wofs_ls_197047_2017-08-17.stac-item
2018-01-19 19:51:53	wofs_ls_194056_2018-01-19.stac-item
2018-01-28 21:21:18	wofs_ls_209048_2018-01-28.stac-item
2018-04-15 17:33:37	wofs_ls_172052_2018-04-15.stac-item
2018-05-07 16:57:32	wofs_ls_166055_2018-05-07.stac-item
2019-01-31 16:31:41	wofs_ls_161066_2019-01-31.stac-item
2019-06-25 17:15:27	wofs_ls_168067_2019-06-25.stac-item
2020-05-31 19:09:42	wofs_ls_187060_2020-05-31.stac-item
2020-10-15 17:26:40	wofs_ls_170063_2020-10-15.stac-item
2021-05-13 17:09:57	wofs_ls_168054_2021-05-13.stac-item
2021-06-03 19:10:46	wofs_ls_187062_2021-06-03.stac-item
2021-11-04 20:11:47	wofs_ls_198037_2021-11-04.stac-item
2022-04-09 17:44:23	wofs_ls_173062_2022-04-09.stac-item
2022-04-19 16:39:16	wofs_ls_163054_2022-04-19.stac-item
2022-05-06 18:58:56	wofs_ls_186048_2022-05-06.stac-item
2022-05-10 17:00:52	wofs_ls_166062_2022-05-10.stac-item
2022-12-13 16:55:05	wofs_ls_165061_2022-12-13.stac-item
2022-12-23 17:25:44	wofs_ls_171045_2022-12-23.stac-item
2023-03-18 18:30:04	wofs_ls_182037_2023-03-18.stac-item
2023-07-30 19:31:22	wofs_ls_192036_2023-07-30.stac-item
2024-04-10 16:27:29	wofs_ls_161055_2024-04-10.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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